Principal Engineer, Cloud Capacity Planning

Job description

Identify, manage, and design mitigation strategies for technical and organizational risks that threaten delivery timelines. Define and drive the end-to-end architectural roadmap and technical strategy for the global capacity planning ecosystem, ensuring all major technical decisions align with Google-level OKRs and long-term business goals. Drive the development of automated IaaS and PaaS tooling, resource lifecycle management, resource forecasting, and real-time dashboards to improve end-to-end planning fidelity, track capacity health, and accelerate execution velocity. Act as the primary cross-functional technical bridge between capacity infrastructure, engineering organizations, and strategic product/financial partners to resolve complex dependencies and resource constraints. Lead the technical translation of enterprise customer business forecasts into specific infrastructure requirements across cores, storage, and specialized offerings (e.g., TPUs and advanced GPUs) to support both traditional computing and complex ML serving and training demands. Minimum Qualifications: Bachelor's degree in Computer Science or similar technical field, or equivalent practical experience. 15 years of experience as a software engineer or 13 years with an advanced degree. Experience delivering large-scale capacity planning, IaaS/PaaS solutions, or fleet management systems. Preferred Qualifications: Master's or PhD in Computer Science or a field related to Networking or Security Systems. Experience leading and delivering large-scale, complex network infrastructure security initiatives from concept to production. Experience influencing and leading without direct authority, building relationships and driving alignment across unique infrastructure and product teams. Experience creating a compelling, shared vision that motivates engineering organizations, coupled with clear communication and a collaborative leadership approach. Exceptional communication skills, with the ability to articulate complex technical concepts to both engineering leaders and non-technical stakeholders.